Back to Developers
Dineshkumar Ganesan

Dineshkumar Ganesan

GenAI / LLM Engineer | Angular Developer

2+ yrs exp 85 ยท Excellent

About

GenAI / LLM Engineer and Angular Developer with 2.4 years of experience building scalable enterprise web applications and AI-powered solutions. Hands-on expertise in building RAG pipelines using LangChain, OpenAI, Gemini API, and Pinecone vector database. Proficient in Python with Flask for serving LLM-based APIs, Docker for containerization, and AWS (EC2, S3) for cloud deployment. Strong frontend engineering background in Angular (7-17), TypeScript, RxJS, and NgRx. Delivered production-grade financial platforms at Tata Consultancy Services across three international clients with consistent on-time delivery.

Skills & Expertise (51)

OpenAI API Advanced
9.1/10
1
Years Exp
Prompt Engineering Advanced
8.6/10
1
Years Exp
LLM Integration Advanced
8.5/10
1
Years Exp
Gemini API Intermediate
8.4/10
0.5
Years Exp
Angular Advanced
8.0/10
2
Years Exp
Typescript Advanced
7.8/10
2
Years Exp
Data Ingestion Intermediate
7.7/10
1
Years Exp
Python Intermediate
7.5/10
2
Years Exp
AWS EC2 Intermediate
7.3/10
1
Years Exp
Flask Intermediate
7.2/10
1
Years Exp
Docker Intermediate
7.0/10
1
Years Exp
Jira Unit Testing Jasmine Karma SonarQube Node.js Express.js MongoDb Mongoose SQL Informatica Swagger code reviews Sprint planning Figma Visual Studio Code Retrospectives Tableau Scrum Agile JavaScript Embeddings Vector Search Pinecone LangChain LlamaIndex REST API development AWS S3 Git GitHub Actions Component-Based Architecture RxJS NgRx Angular Material lazy loading Change Detection HTML5 CSS3 SCSS Responsive Design

Work Experience

GenAI / LLM Engineer and Angular Developer

Tata Consultancy Services

Jan 2026 - Present

Developing an AI-assisted financial operations platform using TCS BaNCS Market Infrastructure suite, enabling centralized service delivery to commercial banks and financial institutions through secure workflows. Built an LLM-powered knowledge assistant using LangChain and OpenAI API with a RAG pipeline, enabling retrieval of operational documentation and reducing manual lookup effort. Designed end-to-end RAG pipeline: document ingestion, text chunking, OpenAI embeddings, Pinecone vector store, LangChain retrieval chain, and response generation served via Flask API. Containerized the LLM application using Docker and deployed on AWS EC2; managed document storage on AWS S3. Integrated Gemini API for summarization tasks, enabling faster processing of financial service reports. Applied prompt engineering techniques to improve LLM response quality and relevance for domain-specific queries. Built an interactive operational dashboard using Chart.js to visualize statuses, improving monitoring efficiency by approximately 30%. Identified and resolved 5+ critical performance bottlenecks, improving system responsiveness across key workflows. Implemented PDF report generation functionality to export tabular data, reducing manual data handling.

Angular Developer

Tata Consultancy Services

Mar 2025 - Dec 2025

Built a scalable web application to support cash management operations for Clearstream using the TCS BaNCS platform, streamlining cash processing workflows and enhancing service delivery. Executed Angular framework upgrade from Version 7 to Version 15, ensuring full application stability and module compatibility. Increased unit test coverage from 40% to 85% by designing comprehensive test suites using Jasmine and Karma. Optimized REST API calls using RxJS operators to improve application responsiveness and reduce latency. Investigated production incidents and delivered hotfixes to maintain system reliability and uptime. Collaborated with UI/UX design team to implement consistent, accessible, and responsive components across cash management workflows. Maintained 100% on-time delivery across 13 consecutive Agile sprints.

Angular Developer

Tata Consultancy Services

Mar 2024 - Mar 2025

Built an enterprise web application using TCS BaNCS platform supporting financial service workflows for the Toronto Stock Exchange. Designed and built a shared reusable component library of 10+ UI components, reducing feature development time by approximately 20% across modules. Integrated 10+ REST APIs to support dynamic content rendering across depository-facing workflows in close coordination with backend engineers. Resolved 30+ frontend defects during QA cycles and cleared SonarQube issues to maintain code quality above team thresholds. Introduced structured SCSS architecture to improve code organization and maintain styling consistency across modules. Coordinated with backend teams to align frontend integration requirements and API contracts.

Education

Bachelor of Engineering - Computer Science and Engineering - Government College of Engineering, Bargur, Krishnagiri

- 2023 ยท Afghanistan

Certifications

No certifications added yet

Interested in this developer?

Profile Score Breakdown

๐Ÿ“ท Photo 10/10
๐Ÿ“„ Resume 10/10
๐Ÿ’ผ Job Title 10/10
โœ๏ธ Bio 10/10
๐Ÿ› ๏ธ Skills 20/20
๐ŸŽ“ Education 10/10
โฑ๏ธ Experience 10/15
๐Ÿ’ฐ Rate 0/5
๐Ÿ† Certs 0/5
โœ… Verified 5/5
Total Score 85/100

Profile Overview

Member sinceOct 2026